class_docstr: BART Model.
docstr: Override to cut off score for start token.
docstr_tok: ["Override","to","cut","off","score","for","start","token","."]
code: def decode_forced(self, encoder_states, ys):
      """
      Override to cut off score for start token.
      """
      logits, preds = super().decode_forced(encoder_states, ys)
      # ignore start
      if logits.size(1) != ys.size(1):
          logits = logits[:, 1:, :]
          preds = preds[:, 1:]
  
      return logits, preds
  
file_path: ParlAI/parlai/agents/bart/modules.py
imports: import torch
  import torch.nn.functional
  from typing import Any, Dict, Union, List, Optional
  from parlai.agents.transformer.modules import TransformerGeneratorModel
label_desc: Use image node_id 4 for calling the BartModel obj's underlying member method code with example usage: obj.decode_forced(encoder_states, ys) and returns: logits,  preds